| auto | Automotive Spare Parts Demand Dataset |
| BETANBB | Beta-Negative Binomial Bayesian Dynamic Model |
| EMPSD | Empirical Distribution Resampling |
| fitted.BETANBB | Extract fitted values from a BETANBB model |
| fitted.EMPSD | Extract fitted values from an EMPSD model |
| fitted.GAMPOISB | Extract fitted values from a GAMPOISB model |
| fitted.HSPES | Extract fitted values from a HSPES model |
| fitted.MARWAL | Extract fitted values from a MARWAL model |
| fitted.NEGBINES | Extract fitted values from a NEGBINES model |
| fitted.NNARMA | Extract fitted values from a NNARMA model |
| fitted.PARAMSD | Extract fitted values from a PARAMSD model |
| fitted.TWEES | Extract fitted values from a TWEES model |
| fitted.VZ | Extract fitted values from a VZ model |
| fitted.WSS | Extract fitted values from a WSS model |
| forecast.BETANBB | Forecast a BETANBB model |
| forecast.EMPSD | Forecast an EMPSD model |
| forecast.GAMPOISB | Forecast a GAMPOISB model |
| forecast.HSPES | Forecast a HSPES model |
| forecast.MARWAL | Forecast a MARWAL model |
| forecast.NEGBINES | Forecast a NEGBINES model |
| forecast.NNARMA | Forecast a NNARMA model |
| forecast.PARAMSD | Forecast a PARAMSD model |
| forecast.TWEES | Forecast a TWEES model |
| forecast.VZ | Forecast a VZ model |
| forecast.WSS | Forecast a WSS model |
| GAMPOISB | Gamma-Poisson Bayesian Dynamic Model |
| generate.BETANBB | Generate sample paths from a BETANBB model |
| generate.EMPSD | Generate sample paths from an EMPSD model |
| generate.GAMPOISB | Generate sample paths from a GAMPOISB model |
| generate.HSPES | Generate sample paths from a HSPES model |
| generate.MARWAL | Generate sample paths from a MARWAL model |
| generate.NEGBINES | Generate sample paths from a NEGBINES model |
| generate.NNARMA | Generate sample paths from a NNARMA model |
| generate.PARAMSD | Generate sample paths from a PARAMSD model |
| generate.TWEES | Generate sample paths from a TWEES model |
| generate.VZ | Generate sample paths from a VZ model |
| generate.WSS | Generate sample paths from a WSS model |
| HSPES | Hurdle-Shifted Poisson Exponential Smoothing |
| MARWAL | Markov Chain Model with Random Walk dynamic |
| NEGBINES | Negative Binomial Exponential Smoothing |
| NNARMA | Non-negative ARMA model |
| PARAMSD | Static Count Distribution Model |
| pasta | Pasta Sales Dataset |
| raf | RAF Spare Parts Demand Dataset |
| report.BETANBB | Beta-Negative Binomial Bayesian Dynamic Model |
| report.EMPSD | Empirical Distribution Resampling |
| report.GAMPOISB | Gamma-Poisson Bayesian Dynamic Model |
| report.HSPES | Hurdle-Shifted Poisson Exponential Smoothing |
| report.MARWAL | Markov Chain Model with Random Walk dynamic |
| report.NEGBINES | Negative Binomial Exponential Smoothing |
| report.NNARMA | Non-negative ARMA model |
| report.PARAMSD | Static Count Distribution Model |
| report.TWEES | Tweedie Exponential Smoothing |
| report.VZ | Viswanathan-Zhou Bootstrap Method |
| report.WSS | Willemain-Smart-Schwarz Bootstrap Method |
| residuals.BETANBB | Extract residuals from a BETANBB model |
| residuals.EMPSD | Extract residuals from an EMPSD model |
| residuals.GAMPOISB | Extract residuals from a GAMPOISB model |
| residuals.HSPES | Extract residuals from a HSPES model |
| residuals.MARWAL | Extract residuals from a MARWAL model |
| residuals.NEGBINES | Extract residuals from a NEGBINES model |
| residuals.NNARMA | Extract residuals from a NNARMA model |
| residuals.PARAMSD | Extract residuals from a PARAMSD model |
| residuals.TWEES | Extract residuals from a TWEES model |
| residuals.VZ | Extract residuals from a VZ model |
| residuals.WSS | Extract residuals from a WSS model |
| tinyM5 | Tiny M5 Dataset |
| TWEES | Tweedie Exponential Smoothing |
| VZ | Viswanathan-Zhou Bootstrap Method |
| WSS | Willemain-Smart-Schwarz Bootstrap Method |